Analysis Of ECG signals by diverse and composite features

ÜBEYLİ, Elif Derya

Analysis Of ECG signals by diverse and composite features

Elif Derya ÜBEYLİ (TOBB Ekonomi ve Teknoloji Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Ankara, Türkiye)

Istanbul University Journal of Electrical and Electronics Engineering

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Yıl: 2007 Cilt: 7 Sayı: 2 Sayfa Aralığı: 393 - 402 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Analysis Of ECG signals by diverse and composite features

Öz:

In this study, the automated diagnostic systems employing diverse and composite features forelectrocardiogram (ECG) signals were analyzed and their accuracies were determined. In patternrecognition applications, diverse features are extracted from raw data which needs recognizing.Combining multiple classifiers with diverse features are viewed as a general problem in variousapplication areas of pattern recognition. Because of the importance of making the right decision,classification procedures classifying the ECG signals with high accuracy were analyzed. Theclassification accuracies of multilayer perceptron neural network, combined neural network, andmixture of experts trained on composite features and modified mixture of experts trained on diversefeatures were compared. The inputs of these automated diagnostic systems composed of diverse orcomposite features and were chosen according to the network structures. The conclusions of this studydemonstrated that the modified mixture of experts trained on diverse features achieved accuracy rateswhich were higher than that of the other automated diagnostic systems trained on composite features.

Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	ÜBEYLİ E (2007). Analysis Of ECG signals by diverse and composite features. , 393 - 402.
Chicago	ÜBEYLİ Elif Derya Analysis Of ECG signals by diverse and composite features. (2007): 393 - 402.
MLA	ÜBEYLİ Elif Derya Analysis Of ECG signals by diverse and composite features. , 2007, ss.393 - 402.
AMA	ÜBEYLİ E Analysis Of ECG signals by diverse and composite features. . 2007; 393 - 402.
Vancouver	ÜBEYLİ E Analysis Of ECG signals by diverse and composite features. . 2007; 393 - 402.
IEEE	ÜBEYLİ E "Analysis Of ECG signals by diverse and composite features." , ss.393 - 402, 2007.
ISNAD	ÜBEYLİ, Elif Derya. "Analysis Of ECG signals by diverse and composite features". (2007), 393-402.

APA	ÜBEYLİ E (2007). Analysis Of ECG signals by diverse and composite features. Istanbul University Journal of Electrical and Electronics Engineering, 7(2), 393 - 402.
Chicago	ÜBEYLİ Elif Derya Analysis Of ECG signals by diverse and composite features. Istanbul University Journal of Electrical and Electronics Engineering 7, no.2 (2007): 393 - 402.
MLA	ÜBEYLİ Elif Derya Analysis Of ECG signals by diverse and composite features. Istanbul University Journal of Electrical and Electronics Engineering, vol.7, no.2, 2007, ss.393 - 402.
AMA	ÜBEYLİ E Analysis Of ECG signals by diverse and composite features. Istanbul University Journal of Electrical and Electronics Engineering. 2007; 7(2): 393 - 402.
Vancouver	ÜBEYLİ E Analysis Of ECG signals by diverse and composite features. Istanbul University Journal of Electrical and Electronics Engineering. 2007; 7(2): 393 - 402.
IEEE	ÜBEYLİ E "Analysis Of ECG signals by diverse and composite features." Istanbul University Journal of Electrical and Electronics Engineering, 7, ss.393 - 402, 2007.
ISNAD	ÜBEYLİ, Elif Derya. "Analysis Of ECG signals by diverse and composite features". Istanbul University Journal of Electrical and Electronics Engineering 7/2 (2007), 393-402.